I am a member of the Foundation Models team at Autodesk AI Lab, where I develop generative models for design and engineering. My research focuses on synthetic data as an enabler for generative AI, investigating how simulation and procedural generation can produce the structured, domain-rich datasets these models require.
My background spans physics-informed machine learning and high-performance computing. I completed my Ph.D. in Computational Physics at the University of Toronto, where I was a Postgraduate Affiliate at the Vector Institute. I hold a B.Sc. in Mechanical Engineering from Sharif University of Technology. I am an instructor in AI and machine learning at the University of Toronto and York University.
Non-provisional
Also contributed minor features and bug fixes to NVIDIA Warp.